ScienceIT Consultant at Lawrence Berkeley National Laboratory

Berkeley, California, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Mar, 26

Salary

191724.0

Posted On

17 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computation, Data Analysis, Data Management, Data Storage, Machine Learning, Cloud Computing, High-Performance Computing, Artificial Intelligence, Python, C++, SQL, Bash Scripting, CI/CD Pipelines, TensorFlow, PyTorch, Networking

Industry

Research Services

Description

Berkeley Lab's Information Technology Division (IT) has an opening for a ScienceIT Consultant to join their ScienceIT Team! In this exciting role, you will partner with Berkeley Lab researchers to accelerate discovery through advanced computing, artificial intelligence, and data-driven science, supported by state-of-the-art cyberinfrastructure (CI) systems, tools, specialized software, and applications that enable research productivity and innovation. We are looking for a talented professional with extensive experience in computation and consultation to provide strong technical support to solve complex research problems. You will work closely with different science teams simultaneously, using professional concepts to resolve issues creatively, as an IT expert or facilitator across all phases of the scientific lifecycle, supporting the efficiency and effectiveness of capabilities for data analysis, data management, data storage, computation, machine learning, and related IT needs expressed by scientific projects. This position has an anticipated start date of March 2, 2026. We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes! Why join Berkeley Lab? We invest in our employees by offering a total rewards package you can count on: Exceptional health and retirement benefits, including pension or 401K-style plans A culture where you’ll belong - we are invested in our teams! In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year. Parental bonding leave (for both mothers and fathers) Pet insurance What You Will Do: Serve as a resource for scientists needing assistance with using computation and data in their research. Collaborate with scientists and ScienceIT specialists, rapidly assess users’ computing needs and then translate and develop those needs into information technology requirements. Network with key contacts, internal and external domain experts, for technical requirements that extend beyond their core expertise. Support and maintain institutional capabilities for data analysis, data management, data storage, computation, identity management, and many other IT needs expressed by scientific projects. Plan, organize, track, and execute projects on behalf of our Science IT customers as part of a flexible team organization. Foster a cross-domain community and knowledge-sharing among science teams facing similar IT challenges. Provide implementation support on a wide range of compute, storage, networking, and data analytics capabilities. Assist researchers with utilizing Cloud Compute Services (AWS, GCP primarily), containerization tools, and other relevant technologies. Assist in cost & schedule estimation for the IT needs of scientific programs, as part of supporting grant applications, architecture development, or scientific program execution. Develop training and teach courses to Laboratory scientists, staff, and post-docs on ScienceIT-specific technology, services, or offerings. Serve as an expert resource in one or more of the following areas: data science, machine learning, cloud computing, high-performance computing, agentic AI, and scientific domains relevant to LBNL research. What is Required: A Bachelor’s Degree (or equivalent knowledge/training) in Computer Science, Systems Engineering, Physics, Biology, or a related field and a minimum of 8 years of professional experience using modern computational tools to help solve problems related to research computing or an equivalent combination of education and experience. Experience with workflow management tools such as bash scripting, Slurm job management, or Python scripting. Experience with data management tools such as SQL databases, data lakes, vector or graph databases. Experience with CI/CD pipelines (including GitHub/GitLab) and traditional parallel programming tools such as MPI, OpenMP, Dask, ipyparallel or Ray. Experience with developing data movement and analysis pipelines in high-level scripting languages. Expertise in Artificial Intelligence/Machine Learning (AI/ML), ML frameworks and generative modeling techniques, and key programming languages such as TensorFlow and PyTorch. Strong technical and problem-solving skills, including programming experience with modern languages such as Python or C++. Excellent oral and written communication skills including experience presenting highly technical data, reports, and projects to clients with varying degrees of technical expertise. Strong interpersonal skills including experience collaborating with researchers and assisting users in a multidisciplinary team environment. Desired Qualifications: An Advanced Degree in Computer Science, Systems Engineering, Physics, Biology, or a related field and a minimum of 6 years of professional experience using modern computational tools to help solve problems related to research computing or an equivalent combination of education and experience. Experience assisting users with technical problems, including a proven ability to quickly identify and resolve technical issues. Research experience that includes the application of advanced computing to solve research problems. Experience with software engineering, including developing research-focused software applications, particularly using modern software development tools such as version control and continuous integration. Broad knowledge of a variety of cyberinfrastructure systems and technologies, including cloud computing and storage, virtual machines, and HPC environments. Understanding of security principles, generative AI, LLMs, vision models, RAG, and model fine-tuning. Notes: Application Deadline: For full consideration, please apply with a resume and a cover letter describing your interest by January 15, 2026. Appointment Type: This is a full-time, career appointment, exempt (monthly paid) from overtime pay. Salary Information: This position is expected to pay $156,864 - $191,724 annually, which fits within the full salary range of $136,440 - $235,308 annually for job code C70.3. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary for this position will be commensurate with the final candidate’s qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group. Background Check: This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Work Modality: This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA 94720. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (click here for more information). Relocation Assistance: This position is eligible for relocation assistance. Work Authorization: Applicants must be legally authorized to work in the United States. Berkeley Lab does not provide visa sponsorship for this position. Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law. Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor. Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

Responsibilities

Serve as a resource for scientists needing assistance with computation and data in their research. Collaborate with scientists to assess computing needs and translate them into IT requirements.